Cotton Crop Yield Prediction using Data Mining Technique

Cotton is a very important crop, as India leads it in terms of production the world; and also that vast number manpower engaged farming well post-harvest processing management different derivatives it. Weather crucial for productivity crop. The challenges climate change; availability limited land water farming; lake knowledge good cultivation practices judicious use agricultural inputs with farmers are critical hindrances improving productivity. This requires thorough research on preparation use, how to improve fertility soil, agronomic lieu variable climatic conditions, etc. All talukas three districts North Gujarat where cotton cultivated have been selected purposively this study. effect soil type, pH, organic carbon, phosphorous, potassium, precipitation temperature were independent factors. yield crop has positive correlation parameters. data sets applied analytical process WEKA. difference between average predicted actual yields all high rainfall year 2013 was only 1.55 per cent. low (2015) 0.44